This recurrent neural network model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SH... read more of GRU + SHAP - Explainable Predictive Maintenance for Irregular Multivariate Time Series

This regression model exploits historical data measured from machine sensors to perform inference on future usage and detect possible future faults in the machine itself. Explainability metrics targets sensor groups and are powered by the SHAP library. read more of Facebook Prophet + SHAP - Explainable Predictive Maintenance for Regular Multivariate Time Series

List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces read more of Image Defect Detection Model Collection

Machine Learning and Deep Learning models to detect anomalies using time series data. read more of Supervised Anomaly Detection Model Collection

Model able to generate a production plan for a week given a set of orders that minimizes the monetary loss . read more of Constraint Optimization Programing Model

It is a service for defect detection and defect localization in hard metal industry read more of Defect Buster

EurekAD is a service for anomaly detection in Industrial time series data. read more of EurekAD: A revolutionary Anomaly Detection Framework

This module ensures that the data used for AI model operations respects some pre-defined quality criteria. read more of Data Quality Assurance